Granted Patent B2

US 12,623,343 · App. 18/190,281 · Granted May 12, 2026

Inventors: Jiho Chu (Suwon-si, KR); Jongmyeong Ko (Suwon-si, KR); Sangkyung Lee (Suwon-si, KR); Koeun Choi (Suwon-si, KR)

Assignee: Samsung Electronics Co., Ltd.

B25J9/1661B25J5/00B25J9/161B25J9/163B25J9/1653B25J9/1697B25J13/003B25J19/023

Abstract

Claims (76)

1 . A robot comprising:

a microphone;

a camera;

a communication interface including a circuit;

memory, storing at least one instruction; and

a processor,

wherein the at least one instruction, when executed by the processor, cause the robot to:

acquire a user voice through the microphone,

identify a task corresponding to the user voice,

determine whether the robot is capable of performing the identified task, and

control the communication interface to transmit information on the identified task from the robot to an external robot based on the determination result,

based on determining that the robot is not capable of performing the identified task, identify location information for a target place based on the user voice and characteristic information of the user,

identify an external robot, from among a plurality of external robots that is to be communicatively connected to the robot, the identified external robot being closest to the target place,

perform communicative connection with the identified external robot,

control the robot to move to the target place based on the location information; and

control the communication interface to transmit the information on the identified task and the characteristic information of the user to an external robot located around the target place.

2 . The robot of claim 1 ,

wherein the characteristic information of the user comprises at least one of height, weight, age, sex, or hairstyle of the user, and

wherein the at least one instruction, when executed by the processor, further cause the robot to:

acquire an image photographed of the user through the camera, and

input the image into a neural network model trained to acquire characteristic information for objects and acquire the characteristic information of the user.

3 . The robot of claim 1 ,

wherein the memory stores location information for a plurality of places included in a map wherein the robot is located, and

wherein the at least one instruction, when executed by the processor, further cause the robot to:

analyze the user voice and identify at least one place among the plurality of places,

calculate scores for the at least one place based on the characteristic information of the user,

identify one place having a highest score among the at least one place as the target place, and

acquire location information for the target place in the memory.

4 . The robot of claim 3 ,

wherein the memory stores a weight corresponding to the characteristic information of the user for calculating the scores for the at least one place, and

wherein the at least one instruction, when executed by the processor, further cause the robot to:

receive information related to an operation of the user in the target place from the external robot, and

update the weight based on the information related to the operation of the user.

5 . The robot of claim 1 , wherein the at least one instruction, when executed by the processor, further cause the robot to:

in order for the external robot to identify the user, control the communication interface to transmit an image, acquired by photographing the user through the camera, to the external robot.

6 . The robot of claim 1 , further comprising:

a light emitting part,

wherein the at least one instruction, when executed by the processor, further cause the robot to:

in order for the external robot to identify the user, control the light emitting part to irradiate a guide light around the user.

7 . The robot of claim 1 ,

wherein the memory stores information for tasks that the robot is capable of performing, and

wherein the at least one instruction, when executed by the processor, further cause the robot to:

compare a task corresponding to the user voice and the stored information, and

determine whether the robot is capable of performing the task corresponding to the user voice.

8 . A method for controlling a robot, the method comprising:

acquiring a user voice;

identifying a task corresponding to the user voice;

determining whether the robot is capable of performing the identified task;

transmitting information on the identified task from the robot to an external robot based on the determination result;

based on determining that the robot is not capable of performing the identified task, identifying location information for a target place based on the user voice and characteristic information of the user;

identifying an external robot, from among a plurality of external robots that is to be communicatively connected to the robot, the identified external robot being closest to the target place;

performing communicative connection with the identified external robot;

based on determining that the robot is not capable of performing the identified task, identifying location information for a target place based on the user voice and characteristic information of the user;

moving the robot to the target place based on the location information; and

transmitting the information on the identified task and the characteristic information of the user to an external robot located around the target place.

9 . The method of claim 8 , further comprising:

acquiring an image by photographing the user; and

inputting the image into a neural network model trained to acquire characteristic information for objects and acquiring the characteristic information of the user.

10 . The method of claim 8 ,

wherein the robot stores location information for a plurality of places included in a map wherein the robot is located, and

wherein the identifying the location information for the target place comprises:

analyzing the user voice and identifying at least one place among the plurality of places,

calculating scores for the at least one place based on the characteristic information of the user,

identifying one place having a highest score among the at least one place as the target place, and

acquiring location information for the target place among the location information for the plurality of places.

11 . The method of claim 10 ,

wherein the robot stores a weight corresponding to the characteristic information of the user for calculating the scores for the at least one place, and

wherein the method further comprises:

receiving information related to an operation of the user in the target place from the external robot, and

updating the weight based on the information related to the operation of the user.

12 . The method of claim 8 , further comprising:

identifying the external robot, from among a plurality of external robots that is to be communicatively connected to the robot, the identified external robot being closest to a target place; and

performing communicative connection with the identified external robot.

13 . The method of claim 10 , further comprising identifying a category based on the user voice.

14 . The method of claim 13 , wherein the calculating of the scores for the at least one place comprises calculating scores for each of a plurality of places corresponding to the identified category.

15 . The method of claim 11 , wherein the received information related to the operation of the user comprises at least one of time that the user stayed in the target place, time spent for the external robot to perform a task corresponding to a user voice, whether the user purchased a product in the target place, an evaluation of satisfaction about a service, or whether the user repeatedly requested a same task.

Assignments (1)

Priority Claims (1)

Continuity (2)

References Cited (48)